Problem $3-29($Algo$)$

Mark Price, the new productions manager for Speakers and Company, needs to find out which variable most affects the demand for their line of company speakers. He is uncertain whether the unit price of the product or the effects of increased marketing are the main drivers in sales and wants to use regression analysis to figure out which factor drives more demand for its particular market. Pertinent information was collected by an extensive marketing project that lasted over the past $12$ years and was reduced to the data that follow:

YEAR UNIT SALES $($THOUSANDS$)$ PRICE $ PER UNIT ADVERTISING $($$$000)$

$1390275650$

$2690216834$

$38902111,102$

$41,2902101,410$

$51,1452161,210$

$61,1901901,290$

$7890225885$

$81,1021991,102$

$9985223699$

$101,235211885$

$11885227699$

$12801244699$

y bar$=\_+\_$Price$+\_$Advertising$///$ fill in the blank by using a regression model